RLT_HOUSING

Dataset statistics

Number of variables	21
Number of observations	34857
Missing cells	100975
Missing cells (%)	13.8%
Duplicate rows	1
Duplicate rows (%)	< 0.1%
Total size in memory	5.6 MiB
Average record size in memory	168.0 B

Variable types

Categorical	8
Numeric	13

Warnings

Dataset has 1 (< 0.1%) duplicate rows	Duplicates
`SUBURB` has a high cardinality: 351 distinct values	High cardinality
`ADDRESS` has a high cardinality: 34009 distinct values	High cardinality
`SELLERG` has a high cardinality: 388 distinct values	High cardinality
`DATE` has a high cardinality: 78 distinct values	High cardinality
`ROOMS` is highly correlated with `BEDROOM2`	High correlation
`BEDROOM2` is highly correlated with `ROOMS`	High correlation
`PRICE` has 7610 (21.8%) missing values	Missing
`BEDROOM2` has 8217 (23.6%) missing values	Missing
`BATHROOM` has 8226 (23.6%) missing values	Missing
`CAR` has 8728 (25.0%) missing values	Missing
`LANDSIZE` has 11810 (33.9%) missing values	Missing
`BUILDINGAREA` has 21115 (60.6%) missing values	Missing
`YEARBUILT` has 19306 (55.4%) missing values	Missing
`LATTITUDE` has 7976 (22.9%) missing values	Missing
`LONGTITUDE` has 7976 (22.9%) missing values	Missing
`LANDSIZE` is highly skewed (γ1 = 96.02231136)	Skewed
`BUILDINGAREA` is highly skewed (γ1 = 99.13257937)	Skewed
`ADDRESS` is uniformly distributed	Uniform
`CAR` has 1631 (4.7%) zeros	Zeros
`LANDSIZE` has 2437 (7.0%) zeros	Zeros

Reproduction

Analysis started	2022-12-15 05:18:48.210489
Analysis finished	2022-12-15 05:19:27.042202
Duration	38.83 seconds
Software version	pandas-profiling v2.11.0
Download configuration	config.yaml

SUBURB
Categorical

HIGH CARDINALITY

Distinct	351
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	272.4 KiB

Reservoir	844
Bentleigh East	583
Richmond	552
Glen Iris	491
Preston	485
Other values (346)	31902

Length

Max length	18
Median length	9
Mean length	9.819175488
Min length	3

Characters and Unicode

Total characters	342267
Distinct characters	49
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	20 ?
Unique (%)	0.1%

Sample

1st row	Abbotsford
2nd row	Abbotsford
3rd row	Abbotsford
4th row	Abbotsford
5th row	Abbotsford

Value	Count	Frequency (%)
Reservoir	844	2.4%
Bentleigh East	583	1.7%
Richmond	552	1.6%
Glen Iris	491	1.4%
Preston	485	1.4%
Kew	467	1.3%
Brighton	456	1.3%
Brunswick	444	1.3%
South Yarra	435	1.2%
Hawthorn	428	1.2%
Other values (341)	29672	85.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
east	2735	5.7%
north	1795	3.7%
south	1398	2.9%
west	1084	2.3%
melbourne	1053	2.2%
bentleigh	902	1.9%
park	885	1.8%
brunswick	877	1.8%
brighton	849	1.8%
reservoir	844	1.8%
Other values (296)	35685	74.2%

Most occurring characters

Value	Count	Frequency (%)
e	30789	9.0%
r	28896	8.4%
o	28824	8.4%
n	24963	7.3%
a	23548	6.9%
t	20717	6.1%
l	19189	5.6%
i	15833	4.6%
s	15495	4.5%
	13250	3.9%
Other values (39)	120763	35.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	280783	82.0%
Uppercase Letter	48234	14.1%
Space Separator	13250	3.9%

Most frequent character per category

Value	Count	Frequency (%)
e	30789	11.0%
r	28896	10.3%
o	28824	10.3%
n	24963	8.9%
a	23548	8.4%
t	20717	7.4%
l	19189	6.8%
i	15833	5.6%
s	15495	5.5%
h	11319	4.0%
Other values (15)	61210	21.8%

Value	Count	Frequency (%)
B	5069	10.5%
M	4335	9.0%
E	4089	8.5%
S	3679	7.6%
C	3605	7.5%
H	3479	7.2%
P	3107	6.4%
N	2805	5.8%
W	2714	5.6%
A	2309	4.8%
Other values (13)	13043	27.0%

Value	Count	Frequency (%)
	13250	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	329017	96.1%
Common	13250	3.9%

Most frequent character per script

Value	Count	Frequency (%)
e	30789	9.4%
r	28896	8.8%
o	28824	8.8%
n	24963	7.6%
a	23548	7.2%
t	20717	6.3%
l	19189	5.8%
i	15833	4.8%
s	15495	4.7%
h	11319	3.4%
Other values (38)	109444	33.3%

Value	Count	Frequency (%)
	13250	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	342267	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	30789	9.0%
r	28896	8.4%
o	28824	8.4%
n	24963	7.3%
a	23548	6.9%
t	20717	6.1%
l	19189	5.6%
i	15833	4.6%
s	15495	4.5%
	13250	3.9%
Other values (39)	120763	35.3%

ADDRESS
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	34009
Distinct (%)	97.6%
Missing	0
Missing (%)	0.0%
Memory size	272.4 KiB

5 Charles St	6
25 William St	4
33 McCracken St	3
16 Smith St	3
57 Bay Rd	3
Other values (34004)	34838

Length

Max length	27
Median length	13
Mean length	13.55136701
Min length	8

Characters and Unicode

Total characters	472360
Distinct characters	64
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	33201 ?
Unique (%)	95.2%

Sample

1st row	68 Studley St
2nd row	85 Turner St
3rd row	25 Bloomburg St
4th row	18/659 Victoria St
5th row	5 Charles St

Value	Count	Frequency (%)
5 Charles St	6	< 0.1%
25 William St	4	< 0.1%
33 McCracken St	3	< 0.1%
16 Smith St	3	< 0.1%
57 Bay Rd	3	< 0.1%
7 Hope St	3	< 0.1%
13 Robinson St	3	< 0.1%
3 Charles St	3	< 0.1%
12 Grandview Av	3	< 0.1%
1088 Toorak Rd	3	< 0.1%
Other values (33999)	34823	99.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
st	17238	16.4%
rd	6592	6.3%
av	3395	3.2%
ct	1743	1.7%
dr	1266	1.2%
cr	1171	1.1%
gr	733	0.7%
3	695	0.7%
5	671	0.6%
4	656	0.6%
Other values (12873)	70896	67.5%

Most occurring characters

Value	Count	Frequency (%)
	70199	14.9%
t	29720	6.3%
e	24774	5.2%
r	22874	4.8%
a	22075	4.7%
S	19703	4.2%
n	18967	4.0%
1	18081	3.8%
o	17069	3.6%
l	16609	3.5%
Other values (54)	212289	44.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	238995	50.6%
Decimal Number	81436	17.2%
Uppercase Letter	71535	15.1%
Space Separator	70199	14.9%
Other Punctuation	10195	2.2%

Most frequent character per category

Value	Count	Frequency (%)
S	19703	27.5%
R	8445	11.8%
C	6463	9.0%
A	6076	8.5%
B	3679	5.1%
M	3246	4.5%
D	2920	4.1%
P	2782	3.9%
G	2649	3.7%
W	2547	3.6%
Other values (16)	13025	18.2%

Value	Count	Frequency (%)
t	29720	12.4%
e	24774	10.4%
r	22874	9.6%
a	22075	9.2%
n	18967	7.9%
o	17069	7.1%
l	16609	6.9%
d	14673	6.1%
i	13090	5.5%
s	8861	3.7%
Other values (16)	50283	21.0%

Value	Count	Frequency (%)
1	18081	22.2%
2	12537	15.4%
3	9751	12.0%
4	7861	9.7%
5	6911	8.5%
6	5934	7.3%
7	5454	6.7%
0	5328	6.5%
8	5091	6.3%
9	4488	5.5%

Value	Count	Frequency (%)
	70199	100.0%

Value	Count	Frequency (%)
/	10195	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	310530	65.7%
Common	161830	34.3%

Most frequent character per script

Value	Count	Frequency (%)
t	29720	9.6%
e	24774	8.0%
r	22874	7.4%
a	22075	7.1%
S	19703	6.3%
n	18967	6.1%
o	17069	5.5%
l	16609	5.3%
d	14673	4.7%
i	13090	4.2%
Other values (42)	110976	35.7%

Value	Count	Frequency (%)
	70199	43.4%
1	18081	11.2%
2	12537	7.7%
/	10195	6.3%
3	9751	6.0%
4	7861	4.9%
5	6911	4.3%
6	5934	3.7%
7	5454	3.4%
0	5328	3.3%
Other values (2)	9579	5.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	472360	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	70199	14.9%
t	29720	6.3%
e	24774	5.2%
r	22874	4.8%
a	22075	4.7%
S	19703	4.2%
n	18967	4.0%
1	18081	3.8%
o	17069	3.6%
l	16609	3.5%
Other values (54)	212289	44.9%

ROOMS
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.031012422
Minimum	1
Maximum	16
Zeros	0
Zeros (%)	0.0%
Memory size	272.4 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	5
Maximum	16
Range	15
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	0.9699329349
Coefficient of variation (CV)	0.320002956
Kurtosis	2.511708654
Mean	3.031012422
Median Absolute Deviation (MAD)	1
Skewness	0.4990968808
Sum	105652
Variance	0.9407698982
Monotocity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
3	15084	43.3%
2	8332	23.9%
4	7956	22.8%
5	1737	5.0%
1	1479	4.2%
6	204	0.6%
7	32	0.1%
8	19	0.1%
10	6	< 0.1%
9	4	< 0.1%
Other values (2)	4	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1479	4.2%
2	8332	23.9%
3	15084	43.3%
4	7956	22.8%
5	1737	5.0%

Value	Count	Frequency (%)
16	1	< 0.1%
12	3	< 0.1%
10	6	< 0.1%
9	4	< 0.1%
8	19	0.1%

TYPE
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	272.4 KiB

h	23980
u	7297
t	3580

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	34857
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	h
2nd row	h
3rd row	h
4th row	u
5th row	h

Value	Count	Frequency (%)
h	23980	68.8%
u	7297	20.9%
t	3580	10.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
h	23980	68.8%
u	7297	20.9%
t	3580	10.3%

Most occurring characters

Value	Count	Frequency (%)
h	23980	68.8%
u	7297	20.9%
t	3580	10.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	34857	100.0%

Most frequent character per category

Value	Count	Frequency (%)
h	23980	68.8%
u	7297	20.9%
t	3580	10.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	34857	100.0%

Most frequent character per script

Value	Count	Frequency (%)
h	23980	68.8%
u	7297	20.9%
t	3580	10.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	34857	100.0%

Most frequent character per block

Value	Count	Frequency (%)
h	23980	68.8%
u	7297	20.9%
t	3580	10.3%

PRICE
Real number (ℝ_≥0)

MISSING

Distinct	2871
Distinct (%)	10.5%
Missing	7610
Missing (%)	21.8%
Infinite	0
Infinite (%)	0.0%

Mean	1050173.345
Minimum	85000
Maximum	11200000
Zeros	0
Zeros (%)	0.0%
Memory size	272.4 KiB

Quantile statistics

Minimum	85000
5-th percentile	415000
Q1	635000
median	870000
Q3	1295000
95-th percentile	2250000
Maximum	11200000
Range	11115000
Interquartile range (IQR)	660000

Descriptive statistics

Standard deviation	641467.1301
Coefficient of variation (CV)	0.6108202357
Kurtosis	13.09720052
Mean	1050173.345
Median Absolute Deviation (MAD)	290000
Skewness	2.588969341
Sum	2.861407313 × 10¹⁰
Variance	4.11480079 × 10¹¹
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
600000	235	0.7%
1100000	235	0.7%
650000	219	0.6%
800000	217	0.6%
1300000	210	0.6%
1000000	205	0.6%
1200000	204	0.6%
700000	197	0.6%
750000	194	0.6%
900000	191	0.5%
Other values (2861)	25140	72.1%
(Missing)	7610	21.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
85000	1	< 0.1%
112000	1	< 0.1%
121000	1	< 0.1%
131000	1	< 0.1%
145000	2	< 0.1%

Value	Count	Frequency (%)
11200000	1	< 0.1%
9000000	1	< 0.1%
8000000	1	< 0.1%
7650000	1	< 0.1%
7000000	1	< 0.1%

METHOD
Categorical

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	272.4 KiB

S	19744
SP	5095
PI	4850
VB	3108
SN	1317
Other values (4)	743

Length

Max length	2
Median length	1
Mean length	1.428608314
Min length	1

Characters and Unicode

Total characters	49797
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	SS
2nd row	S
3rd row	S
4th row	VB
5th row	SP

Value	Count	Frequency (%)
S	19744	56.6%
SP	5095	14.6%
PI	4850	13.9%
VB	3108	8.9%
SN	1317	3.8%
PN	308	0.9%
SA	226	0.6%
W	173	0.5%
SS	36	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
s	19744	56.6%
sp	5095	14.6%
pi	4850	13.9%
vb	3108	8.9%
sn	1317	3.8%
pn	308	0.9%
sa	226	0.6%
w	173	0.5%
ss	36	0.1%

Most occurring characters

Value	Count	Frequency (%)
S	26454	53.1%
P	10253	20.6%
I	4850	9.7%
V	3108	6.2%
B	3108	6.2%
N	1625	3.3%
A	226	0.5%
W	173	0.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	49797	100.0%

Most frequent character per category

Value	Count	Frequency (%)
S	26454	53.1%
P	10253	20.6%
I	4850	9.7%
V	3108	6.2%
B	3108	6.2%
N	1625	3.3%
A	226	0.5%
W	173	0.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	49797	100.0%

Most frequent character per script

Value	Count	Frequency (%)
S	26454	53.1%
P	10253	20.6%
I	4850	9.7%
V	3108	6.2%
B	3108	6.2%
N	1625	3.3%
A	226	0.5%
W	173	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	49797	100.0%

Most frequent character per block

Value	Count	Frequency (%)
S	26454	53.1%
P	10253	20.6%
I	4850	9.7%
V	3108	6.2%
B	3108	6.2%
N	1625	3.3%
A	226	0.5%
W	173	0.3%

SELLERG
Categorical

HIGH CARDINALITY

Distinct	388
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	272.4 KiB

Jellis	3359
Nelson	3236
Barry	3235
hockingstuart	2623
Marshall	2027
Other values (383)	20377

Length

Max length	27
Median length	6
Mean length	6.291533982
Min length	1

Characters and Unicode

Total characters	219304
Distinct characters	58
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	107 ?
Unique (%)	0.3%

Sample

1st row	Jellis
2nd row	Biggin
3rd row	Biggin
4th row	Rounds
5th row	Biggin

Value	Count	Frequency (%)
Jellis	3359	9.6%
Nelson	3236	9.3%
Barry	3235	9.3%
hockingstuart	2623	7.5%
Marshall	2027	5.8%
Ray	1950	5.6%
Buxton	1868	5.4%
Biggin	897	2.6%
Fletchers	861	2.5%
Woodards	714	2.0%
Other values (378)	14087	40.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
jellis	3359	9.6%
nelson	3236	9.3%
barry	3235	9.3%
hockingstuart	2623	7.5%
marshall	2027	5.8%
ray	1950	5.6%
buxton	1868	5.4%
biggin	897	2.6%
fletchers	861	2.5%
woodards	714	2.0%
Other values (373)	14087	40.4%

Most occurring characters

Value	Count	Frequency (%)
l	19452	8.9%
a	19036	8.7%
r	18356	8.4%
s	16592	7.6%
e	15693	7.2%
o	13550	6.2%
n	12384	5.6%
i	11972	5.5%
t	10132	4.6%
B	7433	3.4%
Other values (48)	74704	34.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	181580	82.8%
Uppercase Letter	36864	16.8%
Other Punctuation	542	0.2%
Decimal Number	318	0.1%

Most frequent character per category

Value	Count	Frequency (%)
B	7433	20.2%
J	4047	11.0%
N	4009	10.9%
R	3806	10.3%
M	3715	10.1%
G	1631	4.4%
W	1460	4.0%
H	1368	3.7%
P	1149	3.1%
F	1068	2.9%
Other values (16)	7178	19.5%

Value	Count	Frequency (%)
l	19452	10.7%
a	19036	10.5%
r	18356	10.1%
s	16592	9.1%
e	15693	8.6%
o	13550	7.5%
n	12384	6.8%
i	11972	6.6%
t	10132	5.6%
h	7348	4.0%
Other values (15)	37065	20.4%

Value	Count	Frequency (%)
'	318	58.7%
.	101	18.6%
&	72	13.3%
/	39	7.2%
@	12	2.2%

Value	Count	Frequency (%)
2	159	50.0%
1	159	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	218444	99.6%
Common	860	0.4%

Most frequent character per script

Value	Count	Frequency (%)
l	19452	8.9%
a	19036	8.7%
r	18356	8.4%
s	16592	7.6%
e	15693	7.2%
o	13550	6.2%
n	12384	5.7%
i	11972	5.5%
t	10132	4.6%
B	7433	3.4%
Other values (41)	73844	33.8%

Value	Count	Frequency (%)
'	318	37.0%
2	159	18.5%
1	159	18.5%
.	101	11.7%
&	72	8.4%
/	39	4.5%
@	12	1.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	219304	100.0%

Most frequent character per block

Value	Count	Frequency (%)
l	19452	8.9%
a	19036	8.7%
r	18356	8.4%
s	16592	7.6%
e	15693	7.2%
o	13550	6.2%
n	12384	5.6%
i	11972	5.5%
t	10132	4.6%
B	7433	3.4%
Other values (48)	74704	34.1%

DATE
Categorical

HIGH CARDINALITY

Distinct	78
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	272.4 KiB

28/10/2017	1119
17/03/2018	970
24/02/2018	941
9/12/2017	927
25/11/2017	902
Other values (73)	29998

Length

Max length	10
Median length	10
Mean length	9.714748831
Min length	9

Characters and Unicode

Total characters	338627
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3/09/2016
2nd row	3/12/2016
3rd row	4/02/2016
4th row	4/02/2016
5th row	4/03/2017

Value	Count	Frequency (%)
28/10/2017	1119	3.2%
17/03/2018	970	2.8%
24/02/2018	941	2.7%
9/12/2017	927	2.7%
25/11/2017	902	2.6%
18/11/2017	866	2.5%
3/03/2018	846	2.4%
6/01/2018	787	2.3%
27/05/2017	770	2.2%
23/09/2017	742	2.1%
Other values (68)	25987	74.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
28/10/2017	1119	3.2%
17/03/2018	970	2.8%
24/02/2018	941	2.7%
9/12/2017	927	2.7%
25/11/2017	902	2.6%
18/11/2017	866	2.5%
3/03/2018	846	2.4%
6/01/2018	787	2.3%
27/05/2017	770	2.2%
23/09/2017	742	2.1%
Other values (68)	25987	74.6%

Most occurring characters

Value	Count	Frequency (%)
/	69714	20.6%
0	65588	19.4%
1	64879	19.2%
2	53914	15.9%
7	28339	8.4%
6	16876	5.0%
8	12653	3.7%
3	7976	2.4%
9	7436	2.2%
5	5760	1.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	268913	79.4%
Other Punctuation	69714	20.6%

Most frequent character per category

Value	Count	Frequency (%)
0	65588	24.4%
1	64879	24.1%
2	53914	20.0%
7	28339	10.5%
6	16876	6.3%
8	12653	4.7%
3	7976	3.0%
9	7436	2.8%
5	5760	2.1%
4	5492	2.0%

Value	Count	Frequency (%)
/	69714	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	338627	100.0%

Most frequent character per script

Value	Count	Frequency (%)
/	69714	20.6%
0	65588	19.4%
1	64879	19.2%
2	53914	15.9%
7	28339	8.4%
6	16876	5.0%
8	12653	3.7%
3	7976	2.4%
9	7436	2.2%
5	5760	1.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	338627	100.0%

Most frequent character per block

Value	Count	Frequency (%)
/	69714	20.6%
0	65588	19.4%
1	64879	19.2%
2	53914	15.9%
7	28339	8.4%
6	16876	5.0%
8	12653	3.7%
3	7976	2.4%
9	7436	2.2%
5	5760	1.7%

DISTANCE
Real number (ℝ_≥0)

Distinct	215
Distinct (%)	0.6%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%

Mean	11.18492942
Minimum	0
Maximum	48.1
Zeros	77
Zeros (%)	0.2%
Memory size	272.4 KiB

Quantile statistics

Minimum	0
5-th percentile	2.7
Q1	6.4
median	10.3
Q3	14
95-th percentile	24.7
Maximum	48.1
Range	48.1
Interquartile range (IQR)	7.6

Descriptive statistics

Standard deviation	6.788892456
Coefficient of variation (CV)	0.6069678403
Kurtosis	3.585924276
Mean	11.18492942
Median Absolute Deviation (MAD)	3.85
Skewness	1.503585816
Sum	389861.9
Variance	46.08906078
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11.2	1420	4.1%
13.8	681	2.0%
9.2	665	1.9%
7.8	662	1.9%
10.5	660	1.9%
8.4	604	1.7%
4.6	585	1.7%
14.7	566	1.6%
5.2	565	1.6%
11.4	521	1.5%
Other values (205)	27927	80.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	77	0.2%
0.7	29	0.1%
1.2	47	0.1%
1.3	30	0.1%
1.4	6	< 0.1%

Value	Count	Frequency (%)
48.1	6	< 0.1%
47.4	7	< 0.1%
47.3	20	0.1%
45.9	33	0.1%
45.2	2	< 0.1%

POSTCODE
Real number (ℝ_≥0)

Distinct	211
Distinct (%)	0.6%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%

Mean	3116.062859
Minimum	3000
Maximum	3978
Zeros	0
Zeros (%)	0.0%
Memory size	272.4 KiB

Quantile statistics

Minimum	3000
5-th percentile	3015
Q1	3051
median	3103
Q3	3156
95-th percentile	3204
Maximum	3978
Range	978
Interquartile range (IQR)	105

Descriptive statistics

Standard deviation	109.0239027
Coefficient of variation (CV)	0.03498770971
Kurtosis	22.78373808
Mean	3116.062859
Median Absolute Deviation (MAD)	52
Skewness	4.018785705
Sum	108613487
Variance	11886.21137
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3073	844	2.4%
3046	638	1.8%
3020	617	1.8%
3121	612	1.8%
3165	583	1.7%
3058	556	1.6%
3040	535	1.5%
3204	518	1.5%
3163	508	1.5%
3012	497	1.4%
Other values (201)	28948	83.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3000	204	0.6%
3002	59	0.2%
3003	66	0.2%
3006	76	0.2%
3008	16	< 0.1%

Value	Count	Frequency (%)
3978	5	< 0.1%
3977	33	0.1%
3976	7	< 0.1%
3975	2	< 0.1%
3910	18	0.1%

BEDROOM2
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	15
Distinct (%)	0.1%
Missing	8217
Missing (%)	23.6%
Infinite	0
Infinite (%)	0.0%

Mean	3.084647147
Minimum	0
Maximum	30
Zeros	17
Zeros (%)	< 0.1%
Memory size	272.4 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	5
Maximum	30
Range	30
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	0.9806897285
Coefficient of variation (CV)	0.3179260647
Kurtosis	26.80745531
Mean	3.084647147
Median Absolute Deviation (MAD)	1
Skewness	1.406365679
Sum	82175
Variance	0.9617523437
Monotocity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
3	11881	34.1%
4	6348	18.2%
2	5777	16.6%
5	1427	4.1%
1	966	2.8%
6	168	0.5%
7	30	0.1%
0	17	< 0.1%
8	13	< 0.1%
9	5	< 0.1%
Other values (5)	8	< 0.1%
(Missing)	8217	23.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	17	< 0.1%
1	966	2.8%
2	5777	16.6%
3	11881	34.1%
4	6348	18.2%

Value	Count	Frequency (%)
30	1	< 0.1%
20	1	< 0.1%
16	1	< 0.1%
12	1	< 0.1%
10	4	< 0.1%

BATHROOM
Real number (ℝ_≥0)

MISSING

Distinct	11
Distinct (%)	< 0.1%
Missing	8226
Missing (%)	23.6%
Infinite	0
Infinite (%)	0.0%

Mean	1.624798168
Minimum	0
Maximum	12
Zeros	46
Zeros (%)	0.1%
Memory size	272.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	2
Q3	2
95-th percentile	3
Maximum	12
Range	12
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.7242120115
Coefficient of variation (CV)	0.4457242911
Kurtosis	4.861008943
Mean	1.624798168
Median Absolute Deviation (MAD)	1
Skewness	1.356293032
Sum	43270
Variance	0.5244830376
Monotocity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
1	12969	37.2%
2	11064	31.7%
3	2181	6.3%
4	269	0.8%
5	77	0.2%
0	46	0.1%
6	16	< 0.1%
7	4	< 0.1%
8	3	< 0.1%
9	1	< 0.1%
(Missing)	8226	23.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	46	0.1%
1	12969	37.2%
2	11064	31.7%
3	2181	6.3%
4	269	0.8%

Value	Count	Frequency (%)
12	1	< 0.1%
9	1	< 0.1%
8	3	< 0.1%
7	4	< 0.1%
6	16	< 0.1%

CAR
Real number (ℝ_≥0)

MISSING
ZEROS

Distinct	15
Distinct (%)	0.1%
Missing	8728
Missing (%)	25.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.728845344
Minimum	0
Maximum	26
Zeros	1631
Zeros (%)	4.7%
Memory size	272.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	2
95-th percentile	4
Maximum	26
Range	26
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.010770785
Coefficient of variation (CV)	0.5846507837
Kurtosis	20.85932625
Mean	1.728845344
Median Absolute Deviation (MAD)	1
Skewness	2.09517618
Sum	45173
Variance	1.021657581
Monotocity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
2	12214	35.0%
1	9164	26.3%
0	1631	4.7%
3	1606	4.6%
4	1161	3.3%
5	151	0.4%
6	140	0.4%
7	25	0.1%
8	23	0.1%
10	6	< 0.1%
Other values (5)	8	< 0.1%
(Missing)	8728	25.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1631	4.7%
1	9164	26.3%
2	12214	35.0%
3	1606	4.6%
4	1161	3.3%

Value	Count	Frequency (%)
26	1	< 0.1%
18	1	< 0.1%
12	1	< 0.1%
11	2	< 0.1%
10	6	< 0.1%

LANDSIZE
Real number (ℝ_≥0)

MISSING
SKEWED
ZEROS

Distinct	1684
Distinct (%)	7.3%
Missing	11810
Missing (%)	33.9%
Infinite	0
Infinite (%)	0.0%

Mean	593.5989934
Minimum	0
Maximum	433014
Zeros	2437
Zeros (%)	7.0%
Memory size	272.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	224
median	521
Q3	670
95-th percentile	1001
Maximum	433014
Range	433014
Interquartile range (IQR)	446

Descriptive statistics

Standard deviation	3398.841946
Coefficient of variation (CV)	5.725821614
Kurtosis	11580.16251
Mean	593.5989934
Median Absolute Deviation (MAD)	210
Skewness	96.02231136
Sum	13680676
Variance	11552126.58
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2437	7.0%
650	204	0.6%
697	123	0.4%
585	97	0.3%
700	86	0.2%
604	84	0.2%
534	81	0.2%
696	80	0.2%
652	68	0.2%
600	68	0.2%
Other values (1674)	19719	56.6%
(Missing)	11810	33.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2437	7.0%
1	3	< 0.1%
2	1	< 0.1%
3	2	< 0.1%
5	1	< 0.1%

Value	Count	Frequency (%)
433014	1	< 0.1%
146699	1	< 0.1%
89030	1	< 0.1%
80000	1	< 0.1%
76000	1	< 0.1%

BUILDINGAREA
Real number (ℝ_≥0)

MISSING
SKEWED

Distinct	740
Distinct (%)	5.4%
Missing	21115
Missing (%)	60.6%
Infinite	0
Infinite (%)	0.0%

Mean	160.2564004
Minimum	0
Maximum	44515
Zeros	76
Zeros (%)	0.2%
Memory size	272.4 KiB

Quantile statistics

Minimum	0
5-th percentile	56
Q1	102
median	136
Q3	188
95-th percentile	310
Maximum	44515
Range	44515
Interquartile range (IQR)	86

Descriptive statistics

Standard deviation	401.2670601
Coefficient of variation (CV)	2.50390661
Kurtosis	10877.52575
Mean	160.2564004
Median Absolute Deviation (MAD)	41
Skewness	99.13257937
Sum	2202243.454
Variance	161015.2535
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
120	185	0.5%
100	161	0.5%
110	159	0.5%
130	153	0.4%
115	149	0.4%
140	142	0.4%
150	136	0.4%
112	123	0.4%
160	123	0.4%
125	119	0.3%
Other values (730)	12292	35.3%
(Missing)	21115	60.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	76	0.2%
0.01	1	< 0.1%
1	15	< 0.1%
2	20	0.1%
3	25	0.1%

Value	Count	Frequency (%)
44515	1	< 0.1%
6791	1	< 0.1%
6178	1	< 0.1%
4645	1	< 0.1%
3647	1	< 0.1%

YEARBUILT
Real number (ℝ_≥0)

MISSING

Distinct	160
Distinct (%)	1.0%
Missing	19306
Missing (%)	55.4%
Infinite	0
Infinite (%)	0.0%

Mean	1965.289885
Minimum	1196
Maximum	2106
Zeros	0
Zeros (%)	0.0%
Memory size	272.4 KiB

Quantile statistics

Minimum	1196
5-th percentile	1900
Q1	1940
median	1970
Q3	2000
95-th percentile	2013
Maximum	2106
Range	910
Interquartile range (IQR)	60

Descriptive statistics

Standard deviation	37.32817802
Coefficient of variation (CV)	0.01899372622
Kurtosis	10.89861685
Mean	1965.289885
Median Absolute Deviation (MAD)	30
Skewness	-1.080913147
Sum	30562223
Variance	1393.392875
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1970	1490	4.3%
1960	1260	3.6%
1950	1089	3.1%
1980	726	2.1%
1900	606	1.7%
2000	571	1.6%
1920	545	1.6%
1930	531	1.5%
1910	460	1.3%
1890	444	1.3%
Other values (150)	7829	22.5%
(Missing)	19306	55.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1196	1	< 0.1%
1800	1	< 0.1%
1820	1	< 0.1%
1830	1	< 0.1%
1850	4	< 0.1%

Value	Count	Frequency (%)
2106	1	< 0.1%
2019	1	< 0.1%
2018	4	< 0.1%
2017	82	0.2%
2016	130	0.4%

COUNCILAREA
Categorical

Distinct	33
Distinct (%)	0.1%
Missing	3
Missing (%)	< 0.1%
Memory size	272.4 KiB

Boroondara City Council	3675
Darebin City Council	2851
Moreland City Council	2122
Glen Eira City Council	2006
Melbourne City Council	1952
Other values (28)	22248

Length

Max length	30
Median length	22
Mean length	21.73417685
Min length	17

Characters and Unicode

Total characters	757523
Distinct characters	37
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Yarra City Council
2nd row	Yarra City Council
3rd row	Yarra City Council
4th row	Yarra City Council
5th row	Yarra City Council

Value	Count	Frequency (%)
Boroondara City Council	3675	10.5%
Darebin City Council	2851	8.2%
Moreland City Council	2122	6.1%
Glen Eira City Council	2006	5.8%
Melbourne City Council	1952	5.6%
Banyule City Council	1861	5.3%
Moonee Valley City Council	1791	5.1%
Bayside City Council	1764	5.1%
Brimbank City Council	1593	4.6%
Monash City Council	1466	4.2%
Other values (23)	13773	39.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
council	34854	31.4%
city	34550	31.1%
boroondara	3675	3.3%
darebin	2851	2.6%
moreland	2122	1.9%
glen	2006	1.8%
eira	2006	1.8%
melbourne	1952	1.8%
banyule	1861	1.7%
valley	1791	1.6%
Other values (31)	23375	21.1%

Most occurring characters

Value	Count	Frequency (%)
i	87034	11.5%
	76189	10.1%
n	72285	9.5%
C	69621	9.2%
o	66378	8.8%
l	50280	6.6%
y	43159	5.7%
t	42811	5.7%
u	39969	5.3%
c	34920	4.6%
Other values (27)	174877	23.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	570291	75.3%
Uppercase Letter	111043	14.7%
Space Separator	76189	10.1%

Most frequent character per category

Value	Count	Frequency (%)
i	87034	15.3%
n	72285	12.7%
o	66378	11.6%
l	50280	8.8%
y	43159	7.6%
t	42811	7.5%
u	39969	7.0%
c	34920	6.1%
a	33706	5.9%
r	27026	4.7%
Other values (10)	72723	12.8%

Value	Count	Frequency (%)
C	69621	62.7%
M	10699	9.6%
B	9835	8.9%
D	3165	2.9%
P	2560	2.3%
G	2320	2.1%
H	2156	1.9%
W	2070	1.9%
E	2006	1.8%
V	1791	1.6%
Other values (6)	4820	4.3%

Value	Count	Frequency (%)
	76189	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	681334	89.9%
Common	76189	10.1%

Most frequent character per script

Value	Count	Frequency (%)
i	87034	12.8%
n	72285	10.6%
C	69621	10.2%
o	66378	9.7%
l	50280	7.4%
y	43159	6.3%
t	42811	6.3%
u	39969	5.9%
c	34920	5.1%
a	33706	4.9%
Other values (26)	141171	20.7%

Value	Count	Frequency (%)
	76189	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	757523	100.0%

Most frequent character per block

Value	Count	Frequency (%)
i	87034	11.5%
	76189	10.1%
n	72285	9.5%
C	69621	9.2%
o	66378	8.8%
l	50280	6.6%
y	43159	5.7%
t	42811	5.7%
u	39969	5.3%
c	34920	4.6%
Other values (27)	174877	23.1%

LATTITUDE
Real number (ℝ)

MISSING

Distinct	13402
Distinct (%)	49.9%
Missing	7976
Missing (%)	22.9%
Infinite	0
Infinite (%)	0.0%

Mean	-37.8106343
Minimum	-38.19043
Maximum	-37.3902
Zeros	0
Zeros (%)	0.0%
Memory size	272.4 KiB

Quantile statistics

Minimum	-38.19043
5-th percentile	-37.9485
Q1	-37.86295
median	-37.8076
Q3	-37.7541
95-th percentile	-37.67519
Maximum	-37.3902
Range	0.80023
Interquartile range (IQR)	0.10885

Descriptive statistics

Standard deviation	0.09027890451
Coefficient of variation (CV)	-0.002387659086
Kurtosis	1.544527049
Mean	-37.8106343
Median Absolute Deviation (MAD)	0.05448
Skewness	-0.2576614223
Sum	-1016387.66
Variance	0.008150280599
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-37.8361	25	0.1%
-37.8424	22	0.1%
-37.8198	20	0.1%
-37.7956	20	0.1%
-37.8414	18	0.1%
-37.7969	18	0.1%
-37.7941	17	< 0.1%
-37.8536	17	< 0.1%
-37.7634	17	< 0.1%
-37.7818	16	< 0.1%
Other values (13392)	26691	76.6%
(Missing)	7976	22.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-38.19043	1	< 0.1%
-38.1856	1	< 0.1%
-38.18463	1	< 0.1%
-38.18418	1	< 0.1%
-38.18415	1	< 0.1%

Value	Count	Frequency (%)
-37.3902	1	< 0.1%
-37.3951	1	< 0.1%
-37.3978	1	< 0.1%
-37.39946	1	< 0.1%
-37.40349	1	< 0.1%

LONGTITUDE
Real number (ℝ_≥0)

MISSING

Distinct	14524
Distinct (%)	54.0%
Missing	7976
Missing (%)	22.9%
Infinite	0
Infinite (%)	0.0%

Mean	145.0018511
Minimum	144.42379
Maximum	145.52635
Zeros	0
Zeros (%)	0.0%
Memory size	272.4 KiB

Quantile statistics

Minimum	144.42379
5-th percentile	144.80008
Q1	144.9335
median	145.0078
Q3	145.0719
95-th percentile	145.1877
Maximum	145.52635
Range	1.10256
Interquartile range (IQR)	0.1384

Descriptive statistics

Standard deviation	0.1201687692
Coefficient of variation (CV)	0.0008287395521
Kurtosis	1.545947474
Mean	145.0018511
Median Absolute Deviation (MAD)	0.06832
Skewness	-0.3948800169
Sum	3897794.76
Variance	0.01444053308
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
144.9966	21	0.1%
144.985	17	< 0.1%
145.0104	17	< 0.1%
144.991	17	< 0.1%
144.9911	16	< 0.1%
145.0001	16	< 0.1%
145.0243	16	< 0.1%
144.9679	16	< 0.1%
144.9974	15	< 0.1%
144.9999	15	< 0.1%
Other values (14514)	26715	76.6%
(Missing)	7976	22.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
144.42379	1	< 0.1%
144.43162	1	< 0.1%
144.43181	1	< 0.1%
144.4394	1	< 0.1%
144.44051	1	< 0.1%

Value	Count	Frequency (%)
145.52635	1	< 0.1%
145.5237	1	< 0.1%
145.51137	1	< 0.1%
145.48985	1	< 0.1%
145.48273	1	< 0.1%

REGIONNAME
Categorical

Distinct	8
Distinct (%)	< 0.1%
Missing	3
Missing (%)	< 0.1%
Memory size	272.4 KiB

Southern Metropolitan	11836
Northern Metropolitan	9557
Western Metropolitan	6799
Eastern Metropolitan	4377
South-Eastern Metropolitan	1739
Other values (3)	546

Length

Max length	26
Median length	21
Mean length	20.85631491
Min length	16

Characters and Unicode

Total characters	726926
Distinct characters	21
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Northern Metropolitan
2nd row	Northern Metropolitan
3rd row	Northern Metropolitan
4th row	Northern Metropolitan
5th row	Northern Metropolitan

Value	Count	Frequency (%)
Southern Metropolitan	11836	34.0%
Northern Metropolitan	9557	27.4%
Western Metropolitan	6799	19.5%
Eastern Metropolitan	4377	12.6%
South-Eastern Metropolitan	1739	5.0%
Eastern Victoria	228	0.7%
Northern Victoria	203	0.6%
Western Victoria	115	0.3%
(Missing)	3	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
metropolitan	34308	49.2%
southern	11836	17.0%
northern	9760	14.0%
western	6914	9.9%
eastern	4605	6.6%
south-eastern	1739	2.5%
victoria	546	0.8%

Most occurring characters

Value	Count	Frequency (%)
t	105755	14.5%
o	92497	12.7%
r	79468	10.9%
e	76076	10.5%
n	69162	9.5%
a	41198	5.7%
i	35400	4.9%
	34854	4.8%
M	34308	4.7%
p	34308	4.7%
Other values (11)	123900	17.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	618886	85.1%
Uppercase Letter	71447	9.8%
Space Separator	34854	4.8%
Dash Punctuation	1739	0.2%

Most frequent character per category

Value	Count	Frequency (%)
t	105755	17.1%
o	92497	14.9%
r	79468	12.8%
e	76076	12.3%
n	69162	11.2%
a	41198	6.7%
i	35400	5.7%
p	34308	5.5%
l	34308	5.5%
h	23335	3.8%
Other values (3)	27379	4.4%

Value	Count	Frequency (%)
M	34308	48.0%
S	13575	19.0%
N	9760	13.7%
W	6914	9.7%
E	6344	8.9%
V	546	0.8%

Value	Count	Frequency (%)
	34854	100.0%

Value	Count	Frequency (%)
-	1739	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	690333	95.0%
Common	36593	5.0%

Most frequent character per script

Value	Count	Frequency (%)
t	105755	15.3%
o	92497	13.4%
r	79468	11.5%
e	76076	11.0%
n	69162	10.0%
a	41198	6.0%
i	35400	5.1%
M	34308	5.0%
p	34308	5.0%
l	34308	5.0%
Other values (9)	87853	12.7%

Value	Count	Frequency (%)
	34854	95.2%
-	1739	4.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	726926	100.0%

Most frequent character per block

Value	Count	Frequency (%)
t	105755	14.5%
o	92497	12.7%
r	79468	10.9%
e	76076	10.5%
n	69162	9.5%
a	41198	5.7%
i	35400	4.9%
	34854	4.8%
M	34308	4.7%
p	34308	4.7%
Other values (11)	123900	17.0%

PROPERTYCOUNT
Real number (ℝ_≥0)

Distinct	342
Distinct (%)	1.0%
Missing	3
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%

Mean	7572.888306
Minimum	83
Maximum	21650
Zeros	0
Zeros (%)	0.0%
Memory size	272.4 KiB

Quantile statistics

Minimum	83
5-th percentile	2185
Q1	4385
median	6763
Q3	10412
95-th percentile	15510
Maximum	21650
Range	21567
Interquartile range (IQR)	6027

Descriptive statistics

Standard deviation	4428.090313
Coefficient of variation (CV)	0.5847293839
Kurtosis	0.8906876388
Mean	7572.888306
Median Absolute Deviation (MAD)	2823
Skewness	0.9921002749
Sum	263945449
Variance	19607983.82
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
21650	844	2.4%
8870	722	2.1%
10969	583	1.7%
14949	552	1.6%
10412	491	1.4%
14577	485	1.4%
10331	467	1.3%
10579	456	1.3%
11918	444	1.3%
14887	435	1.2%
Other values (332)	29375	84.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
83	1	< 0.1%
121	1	< 0.1%
129	1	< 0.1%
242	1	< 0.1%
249	5	< 0.1%

Value	Count	Frequency (%)
21650	844	2.4%
17496	204	0.6%
17384	20	0.1%
17093	47	0.1%
17055	123	0.4%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	SUBURB	ADDRESS	ROOMS	TYPE	PRICE	METHOD	SELLERG	DATE	DISTANCE	POSTCODE	BEDROOM2	BATHROOM	CAR	LANDSIZE	BUILDINGAREA	YEARBUILT	COUNCILAREA	LATTITUDE	LONGTITUDE	REGIONNAME	PROPERTYCOUNT
0	Abbotsford	68 Studley St	2	h	NaN	SS	Jellis	3/09/2016	2.5	3067.0	2.0	1.0	1.0	126.0	NaN	NaN	Yarra City Council	-37.8014	144.9958	Northern Metropolitan	4019.0
1	Abbotsford	85 Turner St	2	h	1480000.0	S	Biggin	3/12/2016	2.5	3067.0	2.0	1.0	1.0	202.0	NaN	NaN	Yarra City Council	-37.7996	144.9984	Northern Metropolitan	4019.0
2	Abbotsford	25 Bloomburg St	2	h	1035000.0	S	Biggin	4/02/2016	2.5	3067.0	2.0	1.0	0.0	156.0	79.0	1900.0	Yarra City Council	-37.8079	144.9934	Northern Metropolitan	4019.0
3	Abbotsford	18/659 Victoria St	3	u	NaN	VB	Rounds	4/02/2016	2.5	3067.0	3.0	2.0	1.0	0.0	NaN	NaN	Yarra City Council	-37.8114	145.0116	Northern Metropolitan	4019.0
4	Abbotsford	5 Charles St	3	h	1465000.0	SP	Biggin	4/03/2017	2.5	3067.0	3.0	2.0	0.0	134.0	150.0	1900.0	Yarra City Council	-37.8093	144.9944	Northern Metropolitan	4019.0
5	Abbotsford	40 Federation La	3	h	850000.0	PI	Biggin	4/03/2017	2.5	3067.0	3.0	2.0	1.0	94.0	NaN	NaN	Yarra City Council	-37.7969	144.9969	Northern Metropolitan	4019.0
6	Abbotsford	55a Park St	4	h	1600000.0	VB	Nelson	4/06/2016	2.5	3067.0	3.0	1.0	2.0	120.0	142.0	2014.0	Yarra City Council	-37.8072	144.9941	Northern Metropolitan	4019.0
7	Abbotsford	16 Maugie St	4	h	NaN	SN	Nelson	6/08/2016	2.5	3067.0	3.0	2.0	2.0	400.0	220.0	2006.0	Yarra City Council	-37.7965	144.9965	Northern Metropolitan	4019.0
8	Abbotsford	53 Turner St	2	h	NaN	S	Biggin	6/08/2016	2.5	3067.0	4.0	1.0	2.0	201.0	NaN	1900.0	Yarra City Council	-37.7995	144.9974	Northern Metropolitan	4019.0
9	Abbotsford	99 Turner St	2	h	NaN	S	Collins	6/08/2016	2.5	3067.0	3.0	2.0	1.0	202.0	NaN	1900.0	Yarra City Council	-37.7996	144.9989	Northern Metropolitan	4019.0

Last rows

	SUBURB	ADDRESS	ROOMS	TYPE	PRICE	METHOD	SELLERG	DATE	DISTANCE	POSTCODE	BEDROOM2	BATHROOM	CAR	LANDSIZE	BUILDINGAREA	YEARBUILT	COUNCILAREA	LATTITUDE	LONGTITUDE	REGIONNAME	PROPERTYCOUNT
34847	Wollert	27 Birchmore Rd	3	h	500000.0	PI	Ray	24/02/2018	25.5	3750.0	3.0	2.0	2.0	383.0	118.0	2016.0	Whittlesea City Council	-37.61940	145.03951	Northern Metropolitan	2940.0
34848	Wollert	16 Gunther Wy	4	h	621000.0	S	hockingstuart	24/02/2018	25.5	3750.0	4.0	2.0	2.0	375.0	NaN	NaN	Whittlesea City Council	-37.61331	145.03412	Northern Metropolitan	2940.0
34849	Wollert	35 Kingscote Wy	3	h	570000.0	SP	RW	24/02/2018	25.5	3750.0	3.0	2.0	2.0	404.0	158.0	2012.0	Whittlesea City Council	-37.61031	145.03393	Northern Metropolitan	2940.0
34850	Wollert	15 Rockgarden Wy	3	h	NaN	SP	LJ	24/02/2018	25.5	3750.0	3.0	2.0	2.0	268.0	135.0	2016.0	Whittlesea City Council	-37.61094	145.04281	Northern Metropolitan	2940.0
34851	Yarraville	78 Bayview Rd	3	h	1101000.0	S	Jas	24/02/2018	6.3	3013.0	3.0	1.0	NaN	288.0	NaN	NaN	Maribyrnong City Council	-37.81095	144.88516	Western Metropolitan	6543.0
34852	Yarraville	13 Burns St	4	h	1480000.0	PI	Jas	24/02/2018	6.3	3013.0	4.0	1.0	3.0	593.0	NaN	NaN	Maribyrnong City Council	-37.81053	144.88467	Western Metropolitan	6543.0
34853	Yarraville	29A Murray St	2	h	888000.0	SP	Sweeney	24/02/2018	6.3	3013.0	2.0	2.0	1.0	98.0	104.0	2018.0	Maribyrnong City Council	-37.81551	144.88826	Western Metropolitan	6543.0
34854	Yarraville	147A Severn St	2	t	705000.0	S	Jas	24/02/2018	6.3	3013.0	2.0	1.0	2.0	220.0	120.0	2000.0	Maribyrnong City Council	-37.82286	144.87856	Western Metropolitan	6543.0
34855	Yarraville	12/37 Stephen St	3	h	1140000.0	SP	hockingstuart	24/02/2018	6.3	3013.0	NaN	NaN	NaN	NaN	NaN	NaN	Maribyrnong City Council	NaN	NaN	Western Metropolitan	6543.0
34856	Yarraville	3 Tarrengower St	2	h	1020000.0	PI	RW	24/02/2018	6.3	3013.0	2.0	1.0	0.0	250.0	103.0	1930.0	Maribyrnong City Council	-37.81810	144.89351	Western Metropolitan	6543.0

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows